基于自联的量子拓扑计算算法优化

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum topology, a rapidly evolving field of physics, offers unprecedented opportunities for computation and information processing. Traditional computational methods often struggle with the inherent complexity of quantum systems, necessitating the development of novel algorithms and computational paradigms. This paper explores a novel algorithm, based on the principles of self-linking, designed to optimize quantum computation by leveraging its unique properties. We detail the algorithm's structure, the self-linking process, and its impact on computational efficiency. The core claim is that this algorithm significantly reduces the computational complexity compared to existing approaches, offering a viable pathway towards more efficient quantum computations. We present a theoretical analysis, highlighting the advantages of self-linking in this context. The paper concludes with a discussion of potential applications and future research directions.

DOI: 10.5281/zenodo.22487312

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